Keyword-Augmented Response Retrieval. This module produces the response \(A_N\)  conditioning on dialog history \((Q_N, \mathcal {H}_N)\)  and the selected keywords. While [1]} use a neural retrieval model [2]} to retrieve and rank candidate responses from a dataset, grounded generation language models are more widely used for response generation in recent studies [3]}, [4]}.
